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WO2012037577A2 - Poursuite de pas variables - Google Patents

Poursuite de pas variables Download PDF

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Publication number
WO2012037577A2
WO2012037577A2 PCT/US2011/052228 US2011052228W WO2012037577A2 WO 2012037577 A2 WO2012037577 A2 WO 2012037577A2 US 2011052228 W US2011052228 W US 2011052228W WO 2012037577 A2 WO2012037577 A2 WO 2012037577A2
Authority
WO
WIPO (PCT)
Prior art keywords
asset
movement
amplitude
person
accordance
Prior art date
Application number
PCT/US2011/052228
Other languages
English (en)
Other versions
WO2012037577A3 (fr
Inventor
Richard Moyer Keene
Stephen Kent Garland
Milne Thomas Crouch
Daniel Travis Maxwell
Daniel Carl Maxwell
Original Assignee
Seer Technology, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Seer Technology, Inc. filed Critical Seer Technology, Inc.
Publication of WO2012037577A2 publication Critical patent/WO2012037577A2/fr
Publication of WO2012037577A3 publication Critical patent/WO2012037577A3/fr

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
    • G01C22/006—Pedometers

Definitions

  • FIG. 3 is a graph of step tracking based on a rate of change in elevation in accordance with an example of the present technology
  • WiMAX WiMAX
  • 3GPP Third Generation Partnership Project
  • LTE Long Term Evolution
  • the monitoring device 115 carried by the person detects the movement of the person and transmits the detected information as data signals to the monitoring station 110.
  • the detected information can include location information in three orthogonal dimensions (i.e. x, y, and z axes) that is collected at a predetermined rate as a person moves.
  • the data signals can be stored in a database 135 or memory 150 and can be used to approximate a path or position of the person. This path or position may be represented tabularly, graphically, or in another desired format at the monitoring station, and may be presented on a display device to a monitoring attendant.
  • the correction of stride length can be accomplished by the step length modification module 140 mentioned above regarding FIG. 1 using a model or graph.
  • a graph is shown which illustrates an example correction factor for step length based on incline.
  • the horizontal axis 305 represents a step size, where points farther to the right of the origin 315 represent a larger step size, or a larger stride.
  • the vertical axis 310 represents a rate of change in elevation, or a change in elevation per stride. As described above, the rate of change in elevation can be measured using barometers, accelerometers, and the like.
  • the standard stride length is represented as where the varying stride length line crosses the horizontal axis.
  • the correction factor can be determined from experimental data illustrating specific sequences of stride versus elevation change to indicate whether a person is going up one stair, multiple stairs, an incline, etc.
  • the stair lengths can be determined from standard stair measurements for the local area where the tracking is taking place. For example, local building codes can be referenced to determine standard stair sizes.
  • the delay is typically on the order of 3 to 5 seconds and may vary depending on the barometer used.
  • the graph shown illustrates an actual change in elevation (represented by the top line 410, or the first line to go upward) as compared with a measured change in elevation (the second, or bottom line 415).
  • the horizontal axis 415 represents time and the vertical axis 420 represents elevation.
  • the actual change may be 3.5 seconds sooner in time than the measured change.
  • the velocity signal can be slowed down using a First In First Out (FIFO) buffer. The steps are placed in and removed when FIFO (FIFO) buffer.
  • FIFO First In First Out
  • movement modes include:

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Navigation (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Burglar Alarm Systems (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)

Abstract

L'invention concerne un dispositif de poursuite de pas variables dans lequel un poste de surveillance peut fonctionner pour recevoir des signaux de données représentant un mouvement de pas d'une ressource tel que détecté par un dispositif de surveillance porté par ladite ressource. Une base de données stocke une longueur de pas de la ressource. Un module de modification de longueur de pas modifie la longueur de pas en fonction de l'énergie, et/ou de l'orientation de la ressource, et/ou de la direction et/ou de la fréquence associée(s) au mouvement de pas. Une position de la ressource est estimée par rapport à un emplacement connu en fonction de longueurs de pas cumulées.
PCT/US2011/052228 2010-09-17 2011-09-19 Poursuite de pas variables WO2012037577A2 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US38414110P 2010-09-17 2010-09-17
US61/384,141 2010-09-17
US13/236,522 US9170124B2 (en) 2010-09-17 2011-09-19 Variable step tracking
US13/236,522 2011-09-19

Publications (2)

Publication Number Publication Date
WO2012037577A2 true WO2012037577A2 (fr) 2012-03-22
WO2012037577A3 WO2012037577A3 (fr) 2012-07-05

Family

ID=45832296

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2011/052228 WO2012037577A2 (fr) 2010-09-17 2011-09-19 Poursuite de pas variables

Country Status (2)

Country Link
US (1) US9170124B2 (fr)
WO (1) WO2012037577A2 (fr)

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US8284100B2 (en) 2010-10-08 2012-10-09 HJ Laboratories, LLC Providing indoor location, position, or tracking of a mobile computer using sensors
CN102914303A (zh) * 2012-10-11 2013-02-06 江苏科技大学 多移动机器人的智能空间系统及导航信息获取方法
GB2585861A (en) * 2019-07-17 2021-01-27 Waymap Ltd Apparatus and associated methods for step length estimation

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US8460001B1 (en) * 2011-04-14 2013-06-11 Thomas C. Chuang Athletic performance monitoring with overstride detection
US10330491B2 (en) * 2011-10-10 2019-06-25 Texas Instruments Incorporated Robust step detection using low cost MEMS accelerometer in mobile applications, and processing methods, apparatus and systems
US20130231889A1 (en) * 2012-03-01 2013-09-05 Lockheed Martin Corporation Method and apparatus for an inertial navigation system
US9533773B1 (en) * 2012-04-30 2017-01-03 The Boeing Company Methods and systems for automated vehicle asset tracking
GB201211994D0 (en) * 2012-07-05 2012-08-22 Sensewhere Ltd Method of estimating position of user device
US20140129177A1 (en) * 2012-11-07 2014-05-08 Motorola Mobility Llc Systems and Methods for Frequency-Based Stride Length Correction in a Pedometer Device
JP6229830B2 (ja) * 2013-09-11 2017-11-15 カシオ計算機株式会社 運動支援装置及び運動支援方法、運動支援プログラム
US9506761B2 (en) 2014-01-10 2016-11-29 Alcatel Lucent Method and apparatus for indoor position tagging
WO2017180503A1 (fr) * 2016-04-11 2017-10-19 The Regents Of The University Of Michigan Technologie de localisation à balise magnétique et capteur inertiel
US10418702B2 (en) 2016-09-09 2019-09-17 Viasat, Inc. Methods and systems for performing antenna pointing to overcome effects of atmospheric scintillation
WO2019133089A1 (fr) * 2017-12-31 2019-07-04 Immersion Services, LLC dba Immersion Networks Gestion d'unité de mesure inertielle ayant une dérive de rotation réduite
US11380343B2 (en) 2019-09-12 2022-07-05 Immersion Networks, Inc. Systems and methods for processing high frequency audio signal
WO2021127508A1 (fr) 2019-12-19 2021-06-24 Immersion Networks, Inc. Systèmes et procédés de stabilisation de champ magnétique d'unité de mesure inertielle
US11809639B2 (en) * 2021-09-29 2023-11-07 Qualcomm Incorporated Pedestrian sensor accuracy with minimal dependence on magnetometer

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US8395968B2 (en) 2010-10-08 2013-03-12 HJ Laboratories, LLC Providing indoor location, position, or tracking of a mobile computer using building information
US8842496B2 (en) 2010-10-08 2014-09-23 HJ Laboratories, LLC Providing indoor location, position, or tracking of a mobile computer using a room dimension
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CN102914303A (zh) * 2012-10-11 2013-02-06 江苏科技大学 多移动机器人的智能空间系统及导航信息获取方法
GB2585861A (en) * 2019-07-17 2021-01-27 Waymap Ltd Apparatus and associated methods for step length estimation
GB2585861B (en) * 2019-07-17 2023-09-13 Waymap Ltd Apparatus and associated methods for step length estimation

Also Published As

Publication number Publication date
US20120239333A1 (en) 2012-09-20
WO2012037577A3 (fr) 2012-07-05
US9170124B2 (en) 2015-10-27

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